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Semantic Segmentation

Papers

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Showing 6976–7000 of 14763 papers

TitleStatusHype
An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation—0
Detecting Cadastral Boundary from Satellite Images Using U-Net model—0
Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation—0
Detecting and Learning the Unknown in Semantic Segmentation—0
An Active Contour Model with Local Variance Force Term and Its Efficient Minimization Solver for Multi-phase Image Segmentation—0
Adapting the Segment Anything Model During Usage in Novel Situations—0
Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis—0
Detecting Abnormal Health Conditions in Smart Home Using a Drone—0
DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM—0
An Active Contour Model Driven By the Hybrid Signed Pressure Function—0
Deep Multicameral Decoding for Localizing Unoccluded Object Instances from a Single RGB Image—0
Detect-and-Segment: a Deep Learning Approach to Automate Wound Image Segmentation—0
An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation—0
Adapting Semantic Segmentation Models for Changes in Illumination and Camera Perspective—0
3D Trajectory Reconstruction of Dynamic Objects Using Planarity Constraints—0
Detangling People: Individuating Multiple Close People and Their Body Parts via Region Assembly—0
Detailed Evaluation of Modern Machine Learning Approaches for Optic Plastics Sorting—0
BFS-Net: Weakly Supervised Cell Instance Segmentation from Bright-Field Microscopy Z-Stacks—0
Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform—0
DesnowNet: Context-Aware Deep Network for Snow Removal—0
An Accurate Texture Complexity Estimation for Quality-Enhanced and Secure Image Steganography—0
Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation—0
Design of Real-time Semantic Segmentation Decoder for Automated Driving—0
BezierSeg: Parametric Shape Representation for Fast Object Segmentation in Medical Images—0
Designing DNNs for a trade-off between robustness and processing performance in embedded devices—0
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All datasetsADE20KNYU-Depth V2Cityscapes testCityscapes valADE20K valPASCAL ContextS3DIS Area5PASCAL VOC 2012 testS3DISScanNetSUN-RGBDDensePASS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310—Unverified
2ViT-P (InternImage-H)Validation mIoU63.6—Unverified
3ONE-PEACEValidation mIoU63—Unverified
4M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
5InternImage-HValidation mIoU62.9—Unverified
6BEiT-3Validation mIoU62.8—Unverified
7EVAValidation mIoU62.3—Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6—Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5—Unverified
10FD-SwinV2-GValidation mIoU61.4—Unverified